Postdoctoral Researcher @ GIST

Dr. Muhammad Farooq Siddique

Pioneering AI-Driven Industrial Intelligence through deep learning, signal processing, fault diagnosis, and predictive maintenance for next-generation smart manufacturing systems.

31+ Publications
600+ Citations
68.9 Total IF
15 H-Index
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Dr. Muhammad Farooq Siddique
My Research

Research Excellence

At the intersection of AI and industrial systems, developing trustworthy models that translate multi-sensor signals into actionable insights.

Research Interests

  • Deep Learning for Industrial AI
  • Fault Diagnosis & Predictive Maintenance
  • Signal Processing & Analysis
  • Physics-Informed Machine Learning
  • Explainable AI & Uncertainty
  • Vision Transformers

Current Projects

  • Physics-Guided RUL Prediction
  • Causal Inference for Diagnosis
  • Graph Neural Networks
  • Acoustic Emission Analysis
  • Healthcare AI Applications
  • Smart City Monitoring

Key Achievements

  • Best Paper Award — FICTA 2025 (UK)
  • Best Paper Award — IHCI 2023 (Korea)
  • 31+ Publications in Top Journals
  • 600+ Citations | H-Index: 15
  • NEBOSH, IOSH, OSHA Certified
  • Active Reviewer for IEEE, Elsevier

Academic Background

Education

A comprehensive journey spanning mechanical engineering and AI research

Ph.D. in AI & Computer Engineering

2022 – 2026 University of Ulsan, South Korea

Thesis: "Condition Monitoring of Flow-Based Industrial and Mechanical Equipment Based on Advanced Signal Processing and Deep Learning"
Advisor: Prof. Jong-Myon Kim
Status: Defense completed November 2025. BK21 Graduate Research Assistant. Degree awarded February 13, 2026.

M.S. in Mechanical Engineering

2018 – 2020 UET Peshawar, Pakistan

Specialized in thermal systems and energy management. University of Arizona Funded (USAID) Scholarship recipient.

Bachelor in Mechanical Engineering

2013 – 2017 NUST, Islamabad, Pakistan

Senior Alumni Scholarship recipient. Strong foundation in mechanical systems design, analysis, and CAD/CAM applications.

Research Output

Publications (31+)

Peer-reviewed journal articles and conference papers in top-tier venues

Get In Touch

Contact

Open to research collaborations and industrial partnerships

Email

For research collaborations and inquiries

Send Email

Phone

Available for calls and meetings

+82 10-2157-5865 +92 320-2092353

Profiles

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